Create app.py

app.py

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+from transformers.utils import logging
+logging.set_verbosity_error()
+from sentence_transformers import SentenceTransformer
+model = SentenceTransformer("all-MiniLM-L6-v2")
+sentences1 = ['The cat sits outside',
+              'A man is playing guitar',
+              'The movies are awesome']
+embeddings1 = model.encode(sentences1, convert_to_tensor=True)
+sentences2 = ['The dog plays in the garden',
+              'A woman watches TV',
+              'The new movie is so great']
+embeddings2 = model.encode(sentences2, 
+                           convert_to_tensor=True)
+print(embeddings2)
+
+from sentence_transformers import util
+cosine_scores = util.cos_sim(embeddings1,embeddings2)
+
+print(cosine_scores)
+
+for i in range(len(sentences1)):
+    print("{} \t\t {} \t\t Score: {:.4f}".format(sentences1[i],
+                                                 sentences2[i],
+                                                 cosine_scores[i][i]))
+
+